Get a Head Start in your Data Journey with Templates

Want to engineer your data quickly? Leverage a wide range of pre-built templates that enable you to wrangle your data faster and better with common use cases. These templates provide a solid foundation to get started and achieve your data engineering goals.

All
Data Integration
Data Engineering
Data Quality
Data Transformation

Data Integration

Analyze salesforce opportunity data with account and opportunity owner data

Data Integration

Analyze salesforce opportunity data enriched with owner’s pipeline, win and loss

Data Integration

Analyze key sales performance metrics in salesforce opportunity enriched with owner’s pipeline, win and loss

Data Integration

Enhance salesforce contact data with account data

Data Integration

Prepare standard google analytics report

Data Integration

Prepare advanced google analytics report

Data Transformation

An example of how to parse PDF files

Data Engineering

Analyze a selection of stocks' historic performance to identify correlations

Data Engineering

Analyze associations between retail purchases

Data Engineering

Analyze responses from survey form that contains many types of questions

Data Engineering

Calculate differential in sales by comparing current record with previous and next records using window functions

Data Engineering

Example of analyzing sales and marketing data

Data Engineering

Example of analyzing social media JSON event logs

Data Transformation

Filter data based on presence of values in a reference dataset

Data Quality

Find and remove rows that have duplicate values in some columns

Data Engineering

Identify key sentiment words and compute NPS

Data Integration

Import data from Google Cloud Storage to BigQuery

Data Engineering

Parse and query OpenStreetMap data using a parameterized flow template

Data Engineering

Set timeseries value at a higher granularity with last value found at lower granularity

Data Quality

Structure misaligned columns of data commonly found in printed reports or website tables

Data Transformation

Transform data to a target schema using a mapping table

Data Quality

Validate input file against expected schema and detect schema drift